Timeline for t- test for non normally distributed sample
Current License: CC BY-SA 4.0
6 events
| when toggle format | what | by | license | comment | |
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| Apr 26, 2022 at 9:44 | comment | added | dipetkov | You mention the Mann–Whitney–Wilcoxon rank sum test (U-test). It should work well for your data, as it doesn't assume the variables are normally distributed. So you have (at least) two options: U-test and permutation test. As an side: duration (measured in minutes, hours, etc) is a numeric variable, though obviously non-normal as duration is nonnegative and very often right skewed. | |
| Apr 26, 2022 at 9:03 | answer | added | cdalitz | timeline score: 4 | |
| Apr 25, 2022 at 11:49 | comment | added | lincoln65 | Specifically, I measure time data for both groups: the duration of an action (in minutes). * The data type is less important What statistical significance test should I use? This is the focus of the question. Thanks | |
| Apr 25, 2022 at 9:26 | comment | added | Dave | Welcome to Cross Validated! What do you mean by time data instead of numerical data? Do you mean that your Python code stores a datetime object instead of a raw number? | |
| S Apr 25, 2022 at 8:51 | review | First questions | |||
| Apr 25, 2022 at 9:54 | |||||
| S Apr 25, 2022 at 8:51 | history | asked | lincoln65 | CC BY-SA 4.0 |